www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

published:14 Mar 2012

views:69180

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube.com/c/Quantitativ...Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

published:14 Aug 2016

views:14056

Date and Time:
Tuesday, February 21, 2017
7:00 PM IST | 9:30 PM SGT | 10:30 AM ART
Speakers:
- Deepak Shenoy (Founder and CEO, Capitalmind)
- Maxime Fages (Founder, Golden Compass Quantitative Research)
- Marco Nicolás Dibo (CEO, Quanticko Trading)
Learn to trade fundamentals profitably, understand the challenges surrounding High-frequency data analysis, discover the opportunities and gotchas in Futures trading, and view a live demonstration of a step-by-step tutorial on one of the most popular trading strategies, the Pairs trading strategy!
Note: You might notice a slight lag between the video and audio in a few parts of the recording. That should not impact your understanding of the webinar content. Enjoy and learn!
Most Useful links
Join EPATTM – ExecutiveProgramme in Algorithmic Trading : https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

published:22 Feb 2017

views:1140

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

published:25 Oct 2015

views:1438

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

published:12 Jun 2015

views:21518

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

published:21 Sep 2012

views:3349

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- and two-period-ahead forecasts given the estimated coefficients.
8.How autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series
9.Concept of mean reversion
10. Calculation of a mean-reverting level.
11. In-sample and out-of-sample forecasts
12. The forecasting accuracy of different time-series models based on the root mean squared error criterion
13. Instability of coefficients of time-series models.
14. Characteristics of random walk processes
15. implications of unit roots for time-series analysis
16. When unit roots are likely to occur and How to test for them
17. How a time series with a unit root can be transformed so it can be analyzed with an AR model.
18. Steps of the unit root test for nonstationarity
19. The relation of the test to autoregressive time-series models.
20. How to test and correct for seasonality in a time-series model
21. autoregressive conditional heteroskedasticity (ARCH)
22. how time-series variables should be analyzed for nonstationarity and/or cointegration before use in a linear regression.
23. an appropriate time-series model to analyze a given investment problem, and justify that choice.
24. PracticeQuestions with Solutions

published:13 Mar 2014

views:12032

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests on the show to talk markets, economics, trading and investing, keeping our audience informed via insightful and actionable infotainment.
The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities, covering fundamental, technical, inter-market and quantitative analysis, with the aim of demystifying financial markets for viewers at home.
See More At: www.tiptv.co.uk
Twitter: @OfficialTipTV
Facebook: https://www.facebook.com/officialtiptv

published:21 Feb 2017

views:457

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Quantitative analyst

A quantitative analyst or, in financial jargon, a quant is a person who specializes in the application of mathematical and statistical methods – such as numerical or quantitative techniques – to financial and risk management problems. Similar work of industrial mathematics is done in most other modern industries, but the work is not always called quantitative analysis.

History

Harry Markowitz's 1952 Ph.D thesis "Portfolio Selection" and its published version was one of the first efforts in economic journals to formally adapt mathematical concepts to finance. Markowitz formalized a notion of mean return and covariances for common stocks which allowed him to quantify the concept of "diversification" in a market. He showed how to compute the mean return and variance for a given portfolio and argued that investors should hold only those portfolios whose variance is minimal among all portfolios with a given mean return. Although the language of finance now involves Itō calculus, management of risk in a quantifiable manner underlies much of the modern theory.

History

The principles of technical analysis are derived from hundreds of years of financial market data. Some aspects of technical analysis began to appear in Joseph de la Vega's accounts of the Dutch markets in the 17th century. In Asia, technical analysis is said to be a method developed by Homma Munehisa during early 18th century which evolved into the use of candlestick techniques, and is today a technical analysis charting tool. In the 1920s and 1930s Richard W. Schabacker published several books which continued the work of Charles Dow and William Peter Hamilton in their books Stock Market Theory and Practice and Technical Market Analysis. In 1948 Robert D. Edwards and John Magee published Technical Analysis of Stock Trends which is widely considered to be one of the seminal works of the discipline. It is exclusively concerned with trend analysis and chart patterns and remains in use to the present. Early technical analysis was almost exclusively the analysis of charts, because the processing power of computers was not available for the modern degree of statistical analysis. Charles Dow reportedly originated a form of point and figure chart analysis.

Analysis

Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.

Introduction to Quantitative Analysis

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

16:21

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube.com/c/Quantitativ...Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

1:32:13

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

Date and Time:
Tuesday, February 21, 2017
7:00 PM IST | 9:30 PM SGT | 10:30 AM ART
Speakers:
- Deepak Shenoy (Founder and CEO, Capitalmind)
- Maxime Fages (Founder, Golden Compass Quantitative Research)
- Marco Nicolás Dibo (CEO, Quanticko Trading)
Learn to trade fundamentals profitably, understand the challenges surrounding High-frequency data analysis, discover the opportunities and gotchas in Futures trading, and view a live demonstration of a step-by-step tutorial on one of the most popular trading strategies, the Pairs trading strategy!
Note: You might notice a slight lag between the video and audio in a few parts of the recording. That should not impact your understanding of the webinar content. Enjoy and learn!
Most Useful links
Join EPATTM – ExecutiveProgramme in Algorithmic Trading : https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

15:40

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

15:27

Introduction to Quantitative Analysis

Introduction to Quantitative Analysis

Introduction to Quantitative Analysis

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

3:13

Quantitative Financial Risk Management - What's it all about?

Quantitative Financial Risk Management - What's it all about?

Quantitative Financial Risk Management - What's it all about?

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

18:57

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- and two-period-ahead forecasts given the estimated coefficients.
8.How autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series
9.Concept of mean reversion
10. Calculation of a mean-reverting level.
11. In-sample and out-of-sample forecasts
12. The forecasting accuracy of different time-series models based on the root mean squared error criterion
13. Instability of coefficients of time-series models.
14. Characteristics of random walk processes
15. implications of unit roots for time-series analysis
16. When unit roots are likely to occur and How to test for them
17. How a time series with a unit root can be transformed so it can be analyzed with an AR model.
18. Steps of the unit root test for nonstationarity
19. The relation of the test to autoregressive time-series models.
20. How to test and correct for seasonality in a time-series model
21. autoregressive conditional heteroskedasticity (ARCH)
22. how time-series variables should be analyzed for nonstationarity and/or cointegration before use in a linear regression.
23. an appropriate time-series model to analyze a given investment problem, and justify that choice.
24. PracticeQuestions with Solutions

5:41

Technical Analysis vs. Quantitative Analysis - Darwinex

Technical Analysis vs. Quantitative Analysis - Darwinex

Technical Analysis vs. Quantitative Analysis - Darwinex

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests on the show to talk markets, economics, trading and investing, keeping our audience informed via insightful and actionable infotainment.
The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities, covering fundamental, technical, inter-market and quantitative analysis, with the aim of demystifying financial markets for viewers at home.
See More At: www.tiptv.co.uk
Twitter: @OfficialTipTV
Facebook: https://www.facebook.com/officialtiptv

4:30

What is Quant Finance

What is Quant Finance

What is Quant Finance

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Prudential: What is quant? We'll explain it all.

Meet the people behind the today's quantitative investment strategies. To them, it's not just about the data and crunching numbers. Prudential finds opportunities by applying a disciplined, thoughtful and economically intuitive approach at every stage of the investment process. Translation? Like baseball, it's all about achieving success over the long term and doing it with the right balance of players in your portfolio. Learn more about this fundamentally-driven, systematic process from the people behind it.

8:15

Quantitative Finance for Non-Quants

Quantitative Finance for Non-Quants

Quantitative Finance for Non-Quants

A caste system of sorts has emerged in the financial services industry: those who have quantitative capabilities, and those who don't, says Daniel Nadler, CEO of Kensho Finance. As a result, a vast majority of capital markets professionals are beholden to a small group of quants to test and support their ideas with empirical evidence. But Kensho is aiming to change that with a tool that empowers business users across the ecosystem to run the same complex models that traditionally have been reserved for sophisticated quant funds.

Introduction to Quantitative Analysis

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

published: 14 Mar 2012

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube...

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a...

published: 14 Aug 2016

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

Date and Time:
Tuesday, February 21, 2017
7:00 PM IST | 9:30 PM SGT | 10:30 AM ART
Speakers:
- Deepak Shenoy (Founder and CEO, Capitalmind)
- Maxime Fages (Founder, Golden Compass Quantitative Research)
- Marco Nicolás Dibo (CEO, Quanticko Trading)
Learn to trade fundamentals profitably, understand the challenges surrounding High-frequency data analysis, discover the opportunities and gotchas in Futures trading, and view a live demonstration of a step-by-step tutorial on one of the most popular trading strategies, the Pairs trading strategy!
Note: You might notice a slight lag between the video and audio in a few parts of the recording. That should not impact your understanding of the webinar content. Enjoy and learn!
Most Useful links
Join EPATTM – ExecutiveProgramme in Algorithmic ...

published: 22 Feb 2017

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

published: 25 Oct 2015

Introduction to Quantitative Analysis

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

published: 12 Jun 2015

Quantitative Financial Risk Management - What's it all about?

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

published: 21 Sep 2012

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- ...

published: 13 Mar 2014

Technical Analysis vs. Quantitative Analysis - Darwinex

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests...

published: 21 Feb 2017

What is Quant Finance

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Prudential: What is quant? We'll explain it all.

Meet the people behind the today's quantitative investment strategies. To them, it's not just about the data and crunching numbers. Prudential finds opportunities by applying a disciplined, thoughtful and economically intuitive approach at every stage of the investment process. Translation? Like baseball, it's all about achieving success over the long term and doing it with the right balance of players in your portfolio. Learn more about this fundamentally-driven, systematic process from the people behind it.

published: 10 Jun 2013

Quantitative Finance for Non-Quants

A caste system of sorts has emerged in the financial services industry: those who have quantitative capabilities, and those who don't, says Daniel Nadler, CEO of Kensho Finance. As a result, a vast majority of capital markets professionals are beholden to a small group of quants to test and support their ideas with empirical evidence. But Kensho is aiming to change that with a tool that empowers business users across the ecosystem to run the same complex models that traditionally have been reserved for sophisticated quant funds.

Introduction to Quantitative Analysis

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This i...

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and...

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube.com/c/Quantitativ...Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube.com/c/Quantitativ...Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

published:14 Aug 2016

views:14056

back

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the sto...

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

Introduction to Quantitative Analysis

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of PO...

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fin...

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- and two-period-ahead forecasts given the estimated coefficients.
8.How autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series
9.Concept of mean reversion
10. Calculation of a mean-reverting level.
11. In-sample and out-of-sample forecasts
12. The forecasting accuracy of different time-series models based on the root mean squared error criterion
13. Instability of coefficients of time-series models.
14. Characteristics of random walk processes
15. implications of unit roots for time-series analysis
16. When unit roots are likely to occur and How to test for them
17. How a time series with a unit root can be transformed so it can be analyzed with an AR model.
18. Steps of the unit root test for nonstationarity
19. The relation of the test to autoregressive time-series models.
20. How to test and correct for seasonality in a time-series model
21. autoregressive conditional heteroskedasticity (ARCH)
22. how time-series variables should be analyzed for nonstationarity and/or cointegration before use in a linear regression.
23. an appropriate time-series model to analyze a given investment problem, and justify that choice.
24. PracticeQuestions with Solutions

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- and two-period-ahead forecasts given the estimated coefficients.
8.How autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series
9.Concept of mean reversion
10. Calculation of a mean-reverting level.
11. In-sample and out-of-sample forecasts
12. The forecasting accuracy of different time-series models based on the root mean squared error criterion
13. Instability of coefficients of time-series models.
14. Characteristics of random walk processes
15. implications of unit roots for time-series analysis
16. When unit roots are likely to occur and How to test for them
17. How a time series with a unit root can be transformed so it can be analyzed with an AR model.
18. Steps of the unit root test for nonstationarity
19. The relation of the test to autoregressive time-series models.
20. How to test and correct for seasonality in a time-series model
21. autoregressive conditional heteroskedasticity (ARCH)
22. how time-series variables should be analyzed for nonstationarity and/or cointegration before use in a linear regression.
23. an appropriate time-series model to analyze a given investment problem, and justify that choice.
24. PracticeQuestions with Solutions

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests on the show to talk markets, economics, trading and investing, keeping our audience informed via insightful and actionable infotainment.
The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities, covering fundamental, technical, inter-market and quantitative analysis, with the aim of demystifying financial markets for viewers at home.
See More At: www.tiptv.co.uk
Twitter: @OfficialTipTV
Facebook: https://www.facebook.com/officialtiptv

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests on the show to talk markets, economics, trading and investing, keeping our audience informed via insightful and actionable infotainment.
The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities, covering fundamental, technical, inter-market and quantitative analysis, with the aim of demystifying financial markets for viewers at home.
See More At: www.tiptv.co.uk
Twitter: @OfficialTipTV
Facebook: https://www.facebook.com/officialtiptv

What is Quant Finance

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning...

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Prudential: What is quant? We'll explain it all.

Meet the people behind the today's quantitative investment strategies. To them, it's not just about the data and crunching numbers. Prudential finds opportuniti...

Meet the people behind the today's quantitative investment strategies. To them, it's not just about the data and crunching numbers. Prudential finds opportunities by applying a disciplined, thoughtful and economically intuitive approach at every stage of the investment process. Translation? Like baseball, it's all about achieving success over the long term and doing it with the right balance of players in your portfolio. Learn more about this fundamentally-driven, systematic process from the people behind it.

Meet the people behind the today's quantitative investment strategies. To them, it's not just about the data and crunching numbers. Prudential finds opportunities by applying a disciplined, thoughtful and economically intuitive approach at every stage of the investment process. Translation? Like baseball, it's all about achieving success over the long term and doing it with the right balance of players in your portfolio. Learn more about this fundamentally-driven, systematic process from the people behind it.

Quantitative Finance for Non-Quants

A caste system of sorts has emerged in the financial services industry: those who have quantitative capabilities, and those who don't, says Daniel Nadler, CEO o...

A caste system of sorts has emerged in the financial services industry: those who have quantitative capabilities, and those who don't, says Daniel Nadler, CEO of Kensho Finance. As a result, a vast majority of capital markets professionals are beholden to a small group of quants to test and support their ideas with empirical evidence. But Kensho is aiming to change that with a tool that empowers business users across the ecosystem to run the same complex models that traditionally have been reserved for sophisticated quant funds.

A caste system of sorts has emerged in the financial services industry: those who have quantitative capabilities, and those who don't, says Daniel Nadler, CEO of Kensho Finance. As a result, a vast majority of capital markets professionals are beholden to a small group of quants to test and support their ideas with empirical evidence. But Kensho is aiming to change that with a tool that empowers business users across the ecosystem to run the same complex models that traditionally have been reserved for sophisticated quant funds.

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a...

published: 14 Aug 2016

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

Date and Time:
Tuesday, February 21, 2017
7:00 PM IST | 9:30 PM SGT | 10:30 AM ART
Speakers:
- Deepak Shenoy (Founder and CEO, Capitalmind)
- Maxime Fages (Founder, Golden Compass Quantitative Research)
- Marco Nicolás Dibo (CEO, Quanticko Trading)
Learn to trade fundamentals profitably, understand the challenges surrounding High-frequency data analysis, discover the opportunities and gotchas in Futures trading, and view a live demonstration of a step-by-step tutorial on one of the most popular trading strategies, the Pairs trading strategy!
Note: You might notice a slight lag between the video and audio in a few parts of the recording. That should not impact your understanding of the webinar content. Enjoy and learn!
Most Useful links
Join EPATTM – ExecutiveProgramme in Algorithmic ...

published: 22 Feb 2017

The mathematician who cracked Wall Street | Jim Simons

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars. TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.co...

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

What is a quant trader?

http://www.onestepremoved.com/ Shaun Overton interviews Michael Halls-Moore, a quantitative developer. Mike jumped from postgraduate school straight into algorithmic trading, bringing all the academic expertise but having to figure out the real world of trading with other people's money. Mike talks about the differences between trading personal accounts and what the institutions look for in their trading strategies. http://youtu.be/Uw188vWQ2Hg

PyData NYC2015
Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over time. Pyfolio is a tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm and features advanced statistical analyses using Bayesian modeling. (http://quantopian.github.io/pyfolio/).
Python is quickly establishing itself as the lingua franca for quantitative finance. The rich stack of open source tools like Pandas, the Jupyter notebook, and Seaborn, provide quants with a rich and powerful tool belt to analyze financial data. While useful for Quantitative Finance, these general purpose libraries lack support for common financial analyses like the computation of ...

The Wall Street Code - (vpro backlight documentary - 2013)

A thriller about a genius algorithm builder who dared to stand up against Wall Street. Haim Bodek, aka The AlgoArms Dealer. After Quants: the Alchemists of Wall Street and Money & Speed: Inside the Black Box. This is the final episode of a trilogy in search of the winners and losers of the tech revolution on Wall Street. Trading on the financial market is not longer dominated by humans, but by super fast computers and algorithms. The result of this digital revolution on Wall Street is a complex and fragmented financial system that is hard to understand and overseen. A system that we are all connected to. The only people who understand the system a bit, are the people who built it.
Haim Bodek started his own high frequency trading in 2007 and built a from his point of view perfect and fas...

published: 04 Nov 2013

Basic Statistics & Quantitative Analysis I

This session will provide information regarding descriptive statistics that are often used when reviewing assessment data. We will cover the statistics available in the Baseline reporting site and we will use example situations to identify which statistics should be used to answer the questions being asked. We will also provide an overview regarding levels of measurement that can help determine what types of statistics you are able to run on your data. - See more at: http://www2.campuslabs.com/support/training/basic-statistics-quantitative-analysis-i-5/#sthash.FDO5HA6i.dpuf

Career in Financial Engineering or Quantitative Finance

Career in financial Engineering is lucrative, challenging and prestigious. Popularly known as quants, professionals in this disciplines comes primarily from highly quantitative backgrounds such as physics, computer science, mathematics, statistics, economics. Quants are highly paid professionals in banking and financial service companies. They are also one kind of data scientist.
ANalytics StudyPack : http://analyticuniversity.com/
Analytics University on Twitter : https://twitter.com/AnalyticsUniver
Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity
Logistic Regression in R: https://goo.gl/S7DkRy
Logistic Regression in SAS: https://goo.gl/S7DkRy
Logistic Regression Theory: https://goo.gl/PbGv1h
Time Series Theory : https://goo.gl/54vaDk
TimeARIMAMode...

published: 20 Apr 2017

Introduction to Finance with R - Ronald Hochreiter

More Finance Workshops:
http://www.unicom.co.uk/event.php?ecid=25
With the statistical computing software package R quantitative solutions to a huge number of real-world problems can be calculated painlessly, especially in the area of Finance. Hedge funds and investment banks are already using R to solve their quantitative problems. In this webinar, we outline how simple it is to conduct professional financial engineering tasks using R.

published: 02 Oct 2012

Introduction to Quantitative Trading - Lecture 1/8

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investmen...

published: 01 Oct 2013

Q5: Good Uses of Machine Learning in Finance · Max Margenot

Chat With Traders x Quantopian Pt. 5
Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Used naively, machine learning poses a great deal of risk. We’ll discuss why that’s the case and also some good ways to use it carefully.
Full show notes: https://chatwithtraders.com/q5

published: 22 Jan 2017

Using R in real time financial market trading

Autochartist CEO, Ilan Azbel explains how R can be used in real-time market analysis to build automated trading systems - recorded at a live presentation a the Austin R meetup group, May 27th 2015.

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

published:14 Aug 2016

views:14056

back

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

The mathematician who cracked Wall Street | Jim Simons

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Bill...

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars. TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars. TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have...

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

http://www.onestepremoved.com/ Shaun Overton interviews Michael Halls-Moore, a quantitative developer. Mike jumped from postgraduate school straight into algorithmic trading, bringing all the academic expertise but having to figure out the real world of trading with other people's money. Mike talks about the differences between trading personal accounts and what the institutions look for in their trading strategies. http://youtu.be/Uw188vWQ2Hg

http://www.onestepremoved.com/ Shaun Overton interviews Michael Halls-Moore, a quantitative developer. Mike jumped from postgraduate school straight into algorithmic trading, bringing all the academic expertise but having to figure out the real world of trading with other people's money. Mike talks about the differences between trading personal accounts and what the institutions look for in their trading strategies. http://youtu.be/Uw188vWQ2Hg

PyData NYC2015
Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over ti...

PyData NYC2015
Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over time. Pyfolio is a tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm and features advanced statistical analyses using Bayesian modeling. (http://quantopian.github.io/pyfolio/).
Python is quickly establishing itself as the lingua franca for quantitative finance. The rich stack of open source tools like Pandas, the Jupyter notebook, and Seaborn, provide quants with a rich and powerful tool belt to analyze financial data. While useful for Quantitative Finance, these general purpose libraries lack support for common financial analyses like the computation of certain risk factors (Sharpe, Fama-French), or plots of portfolio allocations over time.
Pyfolio is a recent open source tool developed by Quantopian to fill this gap. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm/portfolio. In addition, the library features advanced statistical analyses using Bayesian modeling. The software can be used stand-alone, w**ith our open-source backtesting library Zipline and is available on the Quantopian platform.
This talk will be a tutorial of how to get the most out of this library (http://quantopian.github.io/pyfolio/).
Slides available here:
http://www.slideshare.net/JessStauth/pydata-nyc-2015
Relevant github repos:
https://github.com/quantopian/pyfolio
https://github.com/quantopian/zipline

PyData NYC2015
Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over time. Pyfolio is a tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm and features advanced statistical analyses using Bayesian modeling. (http://quantopian.github.io/pyfolio/).
Python is quickly establishing itself as the lingua franca for quantitative finance. The rich stack of open source tools like Pandas, the Jupyter notebook, and Seaborn, provide quants with a rich and powerful tool belt to analyze financial data. While useful for Quantitative Finance, these general purpose libraries lack support for common financial analyses like the computation of certain risk factors (Sharpe, Fama-French), or plots of portfolio allocations over time.
Pyfolio is a recent open source tool developed by Quantopian to fill this gap. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm/portfolio. In addition, the library features advanced statistical analyses using Bayesian modeling. The software can be used stand-alone, w**ith our open-source backtesting library Zipline and is available on the Quantopian platform.
This talk will be a tutorial of how to get the most out of this library (http://quantopian.github.io/pyfolio/).
Slides available here:
http://www.slideshare.net/JessStauth/pydata-nyc-2015
Relevant github repos:
https://github.com/quantopian/pyfolio
https://github.com/quantopian/zipline

Basic Statistics & Quantitative Analysis I

This session will provide information regarding descriptive statistics that are often used when reviewing assessment data. We will cover the statistics availabl...

This session will provide information regarding descriptive statistics that are often used when reviewing assessment data. We will cover the statistics available in the Baseline reporting site and we will use example situations to identify which statistics should be used to answer the questions being asked. We will also provide an overview regarding levels of measurement that can help determine what types of statistics you are able to run on your data. - See more at: http://www2.campuslabs.com/support/training/basic-statistics-quantitative-analysis-i-5/#sthash.FDO5HA6i.dpuf

This session will provide information regarding descriptive statistics that are often used when reviewing assessment data. We will cover the statistics available in the Baseline reporting site and we will use example situations to identify which statistics should be used to answer the questions being asked. We will also provide an overview regarding levels of measurement that can help determine what types of statistics you are able to run on your data. - See more at: http://www2.campuslabs.com/support/training/basic-statistics-quantitative-analysis-i-5/#sthash.FDO5HA6i.dpuf

BIDSData Science Lecture Series | February 26, 2016 | 1:10-2:30 p.m. | 190 Doe Library, UC Berkeley
Speakers: Jeffrey R. Bohn, Chief Science Officer, State StreetGlobal Exchange, GX Labs; Shota Ishii, Managing Director, Head of Business and ResearchStrategic Initiatives, State Street Global Exchange, GX Labs
The convergence of high-performance computing technologies, advances in data science, and increased data availability is materially impacting finance, as other domains. This discussion will survey the development of quantitative finance and the issue of characterizing asset returns and risks. In this context, we will explore the limitations of traditional mean-variance approaches and how to address these limitations for multi-asset class portfolios through the use of factor modeling and stochastic simulations boosted by high-performance computing. We introduce specific experimental architectures and approaches as well as data visualization techniques developed to provide a contemporary empirical framework for financial portfolio modeling.

BIDSData Science Lecture Series | February 26, 2016 | 1:10-2:30 p.m. | 190 Doe Library, UC Berkeley
Speakers: Jeffrey R. Bohn, Chief Science Officer, State StreetGlobal Exchange, GX Labs; Shota Ishii, Managing Director, Head of Business and ResearchStrategic Initiatives, State Street Global Exchange, GX Labs
The convergence of high-performance computing technologies, advances in data science, and increased data availability is materially impacting finance, as other domains. This discussion will survey the development of quantitative finance and the issue of characterizing asset returns and risks. In this context, we will explore the limitations of traditional mean-variance approaches and how to address these limitations for multi-asset class portfolios through the use of factor modeling and stochastic simulations boosted by high-performance computing. We introduce specific experimental architectures and approaches as well as data visualization techniques developed to provide a contemporary empirical framework for financial portfolio modeling.

Introduction to Finance with R - Ronald Hochreiter

More Finance Workshops:
http://www.unicom.co.uk/event.php?ecid=25
With the statistical computing software package R quantitative solutions to a huge number of ...

More Finance Workshops:
http://www.unicom.co.uk/event.php?ecid=25
With the statistical computing software package R quantitative solutions to a huge number of real-world problems can be calculated painlessly, especially in the area of Finance. Hedge funds and investment banks are already using R to solve their quantitative problems. In this webinar, we outline how simple it is to conduct professional financial engineering tasks using R.

More Finance Workshops:
http://www.unicom.co.uk/event.php?ecid=25
With the statistical computing software package R quantitative solutions to a huge number of real-world problems can be calculated painlessly, especially in the area of Finance. Hedge funds and investment banks are already using R to solve their quantitative problems. In this webinar, we outline how simple it is to conduct professional financial engineering tasks using R.

Introduction to Quantitative Trading - Lecture 1/8

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trad...

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investment strategies from the popular academic literature and learn the fundamental mathematics and IT aspects of this emerging field. After satisfactorily completing this course, the students will have an overview of the necessary quantitative, computing, and programming skills in quantitative trading.

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investment strategies from the popular academic literature and learn the fundamental mathematics and IT aspects of this emerging field. After satisfactorily completing this course, the students will have an overview of the necessary quantitative, computing, and programming skills in quantitative trading.

Q5: Good Uses of Machine Learning in Finance · Max Margenot

Chat With Traders x Quantopian Pt. 5
Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Use...

Chat With Traders x Quantopian Pt. 5
Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Used naively, machine learning poses a great deal of risk. We’ll discuss why that’s the case and also some good ways to use it carefully.
Full show notes: https://chatwithtraders.com/q5

Chat With Traders x Quantopian Pt. 5
Machine learning is a hot topic right now, with a lot of people wondering how it could be used in finance and trading. Used naively, machine learning poses a great deal of risk. We’ll discuss why that’s the case and also some good ways to use it carefully.
Full show notes: https://chatwithtraders.com/q5

Introduction to Quantitative Analysis

www.pinnacleadvisory.com --- Pinnacle Advisory Group's Quantitative Analyst Sauro Locatelli explains what he does and how it aids the investment process. This is the fifth presentation from our February 25Inside the Investment Committee event.
www.pinnacleadvisory.com

16:21

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

To learn finance theory is the first step in the quantitative analysis. Finance theory was...

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P1

To learn finance theory is the first step in the quantitative analysis. Finance theory was not taught until ten years ago at Yale. It was regarded by Merton and the classically minded faculty the Arts and Sciences is a vocational subject not worthy
it was growing more and more famous. H owever in the world in there was a band old business school professors FisherBlack, Robert Merton, William Sharpe, Steve Ross, Myron Scholes, Merton Miller who had a huge following in business schools teaching the subject and whose students want to wall street in more lies dominated the investment banking to the parts Wall Street and became extremely successful.
======
View more
FinanceTheoryIntroduction - Part 2 :
https://www.youtube.com/watch?v=SqMDzTtWd-o
View more all videos :
https://www.youtube.com/c/Quantitativ...Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

1:32:13

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

Quantitative Analysis - Lesson 1 - Finance Theory Introduction - P2

Any finance theory in the stock market which wouldn't have been entertained by these original. Financial theory is that demographia something to do with the stock market not information about profits and returns with the distribution of Ages in the population. it shows in economic, in finance for economic things, for demography to matter, for leverage the matter and not just for expectations about future profits.
======
View more :
FinanceTheoryIntroduction - Part 1 :
https://www.youtube.com/watch?v=SBjhAfo50Y0
View more all videos :
https://www.youtube.com/c/QuantitativeAnalysis-bsp/videos
Read more stock investing knowledge and tools :
http://beststockpicking.com/
=====
Click subcribe if this video is helpful for you.
Thanks and best regards,

15:27

Introduction to Quantitative Analysis

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.yo...

Introduction to Quantitative Analysis

Provides a brief introduction to quantitative business analysis.
Playlist:
https://www.youtube.com/playlist?list=PL34t5iLfZddtKi93_8Sd0KwwuABmgwbDS
Part of POM333 quantitative business analysis course at umass-dartmouth.

Quantitative Financial Risk Management - What's it all about?

MSc in Quantitative Financial RiskManagement (QFRM) develops the mathematical skills needed to make sound risk management decisions in the ever-changing financial markets. Graduates with such skills are highly desirable to employers who, typically, have developed their "rocket-science" based pricing systems and now want to focus on managing the risks of using them. Hear more in our film and visit our website for more details: www.postgraduate.hw.ac.uk/courses/view/288/

18:57

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Prog...

CFA L- II: Quantitative Analysis: Time Series Analysis-Part 1 (of 4)

We offer the most comprehensive and easy to understand video lectures for CFA and FRM Programs. To know more about our video lecture series, visit us at www.fintreeindia.com
This Video lecture was recorded by Mr. Utkarsh Jain, during his live CFA Level IIClasses in Pune (India). This video lecture covers following key area's:
1. The predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients.
2. Factors that determine whether a linear or a log-linear trend should be used with a particular time series
3. Limitations of trend models
4. Requirement for a time series to be covariance stationary
5. Significance of a series that is not stationary.
6. Structure of an autoregressive (AR) model of order p
7. One- and two-period-ahead forecasts given the estimated coefficients.
8.How autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series
9.Concept of mean reversion
10. Calculation of a mean-reverting level.
11. In-sample and out-of-sample forecasts
12. The forecasting accuracy of different time-series models based on the root mean squared error criterion
13. Instability of coefficients of time-series models.
14. Characteristics of random walk processes
15. implications of unit roots for time-series analysis
16. When unit roots are likely to occur and How to test for them
17. How a time series with a unit root can be transformed so it can be analyzed with an AR model.
18. Steps of the unit root test for nonstationarity
19. The relation of the test to autoregressive time-series models.
20. How to test and correct for seasonality in a time-series model
21. autoregressive conditional heteroskedasticity (ARCH)
22. how time-series variables should be analyzed for nonstationarity and/or cointegration before use in a linear regression.
23. an appropriate time-series model to analyze a given investment problem, and justify that choice.
24. PracticeQuestions with Solutions

5:41

Technical Analysis vs. Quantitative Analysis - Darwinex

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitati...

Technical Analysis vs. Quantitative Analysis - Darwinex

Saif, Quantitative Trader at Darwinex, is a staunch believer in the benefits of Quantitative Data Analysis over visual Technical Analysis.
He believes that Technical Analysis is overly subjective and trading decisions as a result are prone to "confusion bias". Quants instead, employ Statistics, Time Series Analysis and Machine Learning to discover inefficiencies. The trading strategies that result from this R&D have higher odds of being scalable, than those discovered by Technical Analysis.
Watch the full segment to know if Quantitative Analysis is more favourable to Technical Analysis. The segment is hosted by Tip TV CEONickBatsford.
Tip TV Finance is a daily finance show based in Belgravia, London. Tip TV Finance prides itself on being able to attract the very highest quality guests on the show to talk markets, economics, trading and investing, keeping our audience informed via insightful and actionable infotainment.
The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities, covering fundamental, technical, inter-market and quantitative analysis, with the aim of demystifying financial markets for viewers at home.
See More At: www.tiptv.co.uk
Twitter: @OfficialTipTV
Facebook: https://www.facebook.com/officialtiptv

4:30

What is Quant Finance

Quantitative finance is much different than traditional finance. It is replacing much of t...

What is Quant Finance

Quantitative finance is much different than traditional finance. It is replacing much of traditional finance with automation and mathematical formulas. Learning how to adapt is much more important than clinging on to the old world of finance.

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

1:32:13

How to Use Financial Market Data for Fundamental and Quantitative Analysis - 21st Feb 2017

The mathematician who cracked Wall Street | Jim Simons

Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars. TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

What is a quant trader?

http://www.onestepremoved.com/ Shaun Overton interviews Michael Halls-Moore, a quantitative developer. Mike jumped from postgraduate school straight into algorithmic trading, bringing all the academic expertise but having to figure out the real world of trading with other people's money. Mike talks about the differences between trading personal accounts and what the institutions look for in their trading strategies. http://youtu.be/Uw188vWQ2Hg

PyData NYC2015
Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over time. Pyfolio is a tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm and features advanced statistical analyses using Bayesian modeling. (http://quantopian.github.io/pyfolio/).
Python is quickly establishing itself as the lingua franca for quantitative finance. The rich stack of open source tools like Pandas, the Jupyter notebook, and Seaborn, provide quants with a rich and powerful tool belt to analyze financial data. While useful for Quantitative Finance, these general purpose libraries lack support for common financial analyses like the computation of certain risk factors (Sharpe, Fama-French), or plots of portfolio allocations over time.
Pyfolio is a recent open source tool developed by Quantopian to fill this gap. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm/portfolio. In addition, the library features advanced statistical analyses using Bayesian modeling. The software can be used stand-alone, w**ith our open-source backtesting library Zipline and is available on the Quantopian platform.
This talk will be a tutorial of how to get the most out of this library (http://quantopian.github.io/pyfolio/).
Slides available here:
http://www.slideshare.net/JessStauth/pydata-nyc-2015
Relevant github repos:
https://github.com/quantopian/pyfolio
https://github.com/quantopian/zipline

1:14:20

Panel Discussion on The Outlook for Quantitative Investing

National Meeting of Women in Financial Mathematics
Panel Discussion on The Outlook for Qu...

Basic Statistics & Quantitative Analysis I

This session will provide information regarding descriptive statistics that are often used when reviewing assessment data. We will cover the statistics available in the Baseline reporting site and we will use example situations to identify which statistics should be used to answer the questions being asked. We will also provide an overview regarding levels of measurement that can help determine what types of statistics you are able to run on your data. - See more at: http://www2.campuslabs.com/support/training/basic-statistics-quantitative-analysis-i-5/#sthash.FDO5HA6i.dpuf

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The mathematician who cracked Wall Street | Jim Si...

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Basics of Quantitative Trading...

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16. Portfolio Management...

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Dr Jessica Stauth: Portfolio and Risk Analytics in...

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Basic Statistics & Quantitative Analysis I...

Quantitative Finance: The Empirical Frontier...

Career in Financial Engineering or Quantitative Fi...

Introduction to Finance with R - Ronald Hochreiter...

Introduction to Quantitative Trading - Lecture 1/8...

Q5: Good Uses of Machine Learning in Finance · Max...

Using R in real time financial market trading...

According to Israel's military, it struck the Syrian anti-aircraft battery after an Israeli aircraft was targeted over Lebanon. Israel has carried out dozens of attacks on suspected arms shipments to Hezbollah... ....

It was also direct confirmation that short bursts of gamma-ray radiation are linked to colliding neutron stars. By combining information from gravitational waves and the light collected by telescopes, researchers also used a new technique to measure the expansion rate of the Universe. This technique was first proposed in 1986 by the University of Cardiff's Prof Bernard Schutz...Related Topics. ....

You can search using any combination of the items listed below.

Applications have been sought from institutions and agencies to be empanelled for conducting studies as well as economic analysis of markets, according to a public notice issued by the regulator. The CompetitionCommission is looking to rope in agencies and institutions to carry out economic analysis of markets as the watchdog bolsters efforts to curb unfair business practices....

Market Research Hub (MRH) has included a new research report titled “The GlobalSNP Genotyping and AnalysisMarketProfessionalSurveyReport 2017”, provides detailed analysis of market size, trend, demand, revenue, growth, and segmentation of the global SNP Genotyping and Analysis industry in the coming forecast Period From 2017-2022 ... Global SNP Genotyping and Analysis Market Professional Survey Report 2017....

Bitcoin price could be due for a pullback after its strong breakout move, with tech indicators confirming that the rally could resume. The post Bitcoin Price Technical Analysis for 10/16/2017 – Waiting for a Pullback appeared first on NEWSBTC. ... ....

analysis BTCUSD Bitcoin BTCUSD is trading at 5628. Cryptocurrency is traded above the upper boundary of the Ichimoku Kinko HyoCloud, indicating a bullish trend in Bitcoin. Ichimoku Kinko Hyo signal line area test is expected near the level of 5500, from which it is expected to attempt a rebound and continue growing with the [...] ... ....

NEOUSD TECHNICAL ANALYSIS That flash buy on Friday pushed NEO prices higher. However, since price movement over the weekend remained muted, the minor resistance trend line drawn from 08.10.2017 and 14.10.2017 highs and the 20 period MA is a lifeline for NEO bulls. Right now, the price is rejecting any price above $30 and continues ... ....

analysis ZECUSD Zcash ZEC/USD is trading at the level of 232. Cryptocurrency is trading below the lower bound of the Cloud of the Ichimoku indicator Kinko Hyo, which indicates the presence of a bearish trend for Zcash. Ichimoku Kinko Hyo Cloud near the level 235 is expected to be tested near the level of 235, [...] ... ....

GlobalIndustryAnalysis (2012-2016) and Forecast (2017-2022)’ ... In the subsequent section of the report, information is given on the cost structure analysis and pricing analysis of the global medical image analysis software market ... The next part of the report consists of the global medical image analysis software market analysis and forecast by product type, end user, modality, imaging type and region....

A detailed upstream and downstream trend analysis has been carried out in the report which equips readers with information on the value chain in this landscape. The detailed upstream and downstream analysis helps in getting a clearer overview of the market ... Of particular significance is the competitive landscape analysis that gives readers detailed insights and analysis on the market....